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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cmptl and Data Sci Rsch Spec 3 - 141430 job - **Company:** University of California - **Location:** San Diego, CA, United States - **Salary:** $102,060.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Training Data, Artificial Intelligence, Algorithm Design, Application Testing, Big Data, Computer Networks, Dataspaces, Field-Programmable Gate Array (FPGA), Virtual Private Networks (VPN), Machine Learning, Jupyter, Kubernetes, Information Technology, Hardware Acceleration, Model Inference - **Published:** October 16, 2026 - **Apply:** https://jobs.diversity.com/career/2528149/cmptl-data-sci-rsch-spec-3-141430 ## About the Role * Advanced skills and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools. Proven ability to deploy machine learning/AI tools on innovative hardware architectures. * Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles. * Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. Proven ability to work in a Kubernetes cluster environment with experience using it for either research or education. * Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. * Knowledge of research cyberinfrastructure and AI-ready data ecosystems, including approaches for connecting data, computing, AI models, workflows, and collaborative environments. SPECIAL CONDITIONS * Job offer is contingent upon satisfactory clearance based on Background Check results. Pay Transparency Act Annual Full Pay Range: Unclassified - No data available (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: Unclassified - No data available Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). ## Description The Computational and Data Science Research Specialist applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. The incumbent develops and optimizes a variety of computational, data science, and CI research tools and components, performs research on current and future HPC, data, and CI technologies, hardware and software projects and works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements. Responsibilities include working with SDSC and ESnet staff on software defined networking projects. This includes developing accountability framework for network bandwidth via dynamically created VPNs for large scale data movement. This will include the Large Hadron Collider (LHC) community as a science driver, and involve integrating Rucio, FTS, XRootd, and SENSE, deploying them on a global 400G network, and validating both fundamental concepts, testing software, and developing glue-software between the aforementioned packages to establish the desired functionality. This is an ongoing project for several years, and will need to be translated into global production operations for the LHC. The incumbent will also work on the Fusion Energy Data Ecosystem and Repository (FEDER) project to develop and support a standardized, national data platform to integrated fusion research data and workflows into a single U.S. resource with a multi-institutional team, which includes specialists in plasma physics, fusion engineering, materials science and high-performance computing, and in tandem with other Fusion Innovative Research Engine (FIRE) Collaboratives and research teams across the country to build a community-driven platform that standardizes data practices and workflows - giving researchers seamless access to experimental results, simulation datasets and proven analysis workflows. They will also provide user and operational support once FEDER is transitioned to production use. As a computational & data science researcher, provide advanced application and user support for SDSC's cutting-edge HPC and AI resources, including the Prototype National Research Platform (PNRP), Cosmo Expanse, and Voyager. In particular this includes developing, testing, and deploying SDSC AI inference services leveraging SDSC's HPC and AI resources. The incumbent will provide user support to help researchers and educators integrate SDSC and NRP provided inference services into their workflows and classes, including use within Jupyter environments and collaborate with the systems group to integrate advanced HPC and AI hardware, including FPGAs and high-end accelerators, into the PNRP cluster, modifying software stacks to enable network and scientific applications to utilize these innovative resources. Responsibilities will also include developing and maintaining benchmark suites to test innovative hardware on SDSC Kubernetes clusters, providing advanced support for testing, implementing, and integrating complex domain science applications into workflows on Kubernetes-based clusters using innovative hardware/software components. Additionally, the incumbent will work closely with SDSC research staff to aid and participate in proposals utilizing SDSC's unique HPC and AI resources, such as Expanse, Voyager, PNRP, and Cosmos as well as in proposals for future CI resource procurements. This involves running applications and micro-benchmarks to characterize performance in support of proposals, designing and implementing plans to use application test cases to highlight the unique features of proposed systems, including computational features, virtualization, high-performance networks, and I/O components. Additionally, they will collaborate with SDSC project managers to develop and maintain research collaborations and projects utilizing SDSC HPC and AI resources. This position offers an exciting opportunity to work at the forefront of HPC and AI, contributing to cutting-edge research and technological advancements., a. "Misconduct" means any violation of the policies governing employee conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: * UC Sexual Violence and Sexual Harassment Policy * UC Anti-Discrimination Policy * Abusive Conduct in the Workplace